Model Comparison

Llama 4 Scout vs Muse Spark 1.1Which is better in 2026?

Comparing Llama 4 Scout and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Llama 4 Scout vs Muse Spark 1.1 — which is better?

Llama 4 Scout (by Meta) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Llama 4 Scout is roughly 14.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Llama 4 Scout if…

  • cost matters — it's about 14.8x cheaper per token
  • you process long inputs — it offers a 10,000,000 token context window
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1 if…

  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 4 Scout and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 4 Scout costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 15.6x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 14.2x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Llama 4 Scout.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Jul 19 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Muse Spark 1.1's 1,048,576 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Llama 4 Scout and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 4 Scout

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Muse Spark 1.1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 15 months newer than Llama 4 Scout.

Llama 4 Scout

Apr 5, 2025

1.3 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Muse Spark 1.1 is available from Meta Model API.

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (10,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Meta

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 4 Scout and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Llama 4 Scout
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Meta
Muse Spark 1.1

FAQ

Common questions about Llama 4 Scout vs Muse Spark 1.1.

Which is better, Llama 4 Scout or Muse Spark 1.1?

Llama 4 Scout (Meta) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 4 Scout compare to Muse Spark 1.1 in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is Llama 4 Scout cheaper than Muse Spark 1.1?

Llama 4 Scout is 15.6x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Llama 4 Scout and Muse Spark 1.1?

Llama 4 Scout supports 10.0M tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 4 Scout and Muse Spark 1.1?

Key differences include context window (10.0M vs 1.0M), input pricing ($0.08 vs $1.25/M), licensing (Llama 4 Community License Agreement vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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